|
|
|
|
|
Jiaming Bian, Ye Liu and Jun Chen
In recent times, remote sensing image super-resolution reconstruction technology based on deep learning has experienced rapid development. However, most algorithms in this domain concentrate solely on enhancing the super-resolution network?s performance ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Sonain Jamil, Md. Jalil Piran and Oh-Jin Kwon
|
|
|
|
|
|
|
|
|
|
|
Mohamed Chetoui and Moulay A. Akhloufi
The simultaneous advances in deep learning and the Internet of Things (IoT) have benefited distributed deep learning paradigms. Federated learning is one of the most promising frameworks, where a server works with local learners to train a global model. ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Amal Naitali, Mohammed Ridouani, Fatima Salahdine and Naima Kaabouch
Recent years have seen a substantial increase in interest in deepfakes, a fast-developing field at the nexus of artificial intelligence and multimedia. These artificial media creations, made possible by deep learning algorithms, allow for the manipulatio...
ver más
|
|
|
|
|
|
|
|
|
|
|
Manav Garg, Pranshav Gajjar, Pooja Shah, Madhu Shukla, Biswaranjan Acharya, Vassilis C. Gerogiannis and Andreas Kanavos
The musical key serves as a crucial element in a piece, offering vital insights into the tonal center, harmonic structure, and chord progressions while enabling tasks such as transposition and arrangement. Moreover, accurate key estimation finds practica...
ver más
|
|
|
|
|
|
|
|
|
|
|
Oscar Ondeng, Heywood Ouma and Peter Akuon
Visual understanding is a research area that bridges the gap between computer vision and natural language processing. Image captioning is a visual understanding task in which natural language descriptions of images are automatically generated using visio...
ver más
|
|
|
|
|
|
|
|
|
|
|
Qian Zhou, Hua Zou and Huanhuan Wu
Vision Transformers (ViTs) have shown their superiority in various visual tasks for the capability of self-attention mechanisms to model long-range dependencies. Some recent works try to reduce the high cost of vision transformers by limiting the self-at...
ver más
|
|
|
|
|
|
|
|
|
|
|
Mohamad Abou Ali, Fadi Dornaika and Ignacio Arganda-Carreras
Deep learning (DL) has made significant advances in computer vision with the advent of vision transformers (ViTs). Unlike convolutional neural networks (CNNs), ViTs use self-attention to extract both local and global features from image data, and then ap...
ver más
|
|
|
|
|
|
|
|
|
|
|
Muhammad Asad Arshed, Shahzad Mumtaz, Muhammad Ibrahim, Saeed Ahmed, Muhammad Tahir and Muhammad Shafi
Skin cancer, particularly melanoma, has been recognized as one of the most lethal forms of cancer. Detecting and diagnosing skin lesions accurately can be challenging due to the striking similarities between the various types of skin lesions, such as mel...
ver más
|
|
|
|
|
|
|
|
|
|
|
Dmitry Vesnin, Dmitry Levshun and Andrey Chechulin
The origin of the trademark similarity analysis problem lies within the legal area, specifically the protection of intellectual property. One of the possible technical solutions for this issue is the trademark similarity evaluation pipeline based on the ...
ver más
|
|
|
|
|
|